Metadata-Version: 2.1
Name: association-metrics
Version: 0.0.1
Summary: Python module for measure the degree of association between variables
Home-page: https://github.com/HeberTU/association_metrics
Author: Heber Trujillo
Author-email: heber.trj.urt@gmail.com
License: UNKNOWN
Description: # Association-Metrics
        
        **Association-Metrics** is a Python module for measure the degree of association between variables built on top of SciPy and Numpy, and is distributed under the MIT license.
        
        The project started due to the lack of reliable source code to calculate [Cramers'v](https://en.wikipedia.org/wiki/Cram%C3%A9r's_V), and from that, we decided to package-up our development. 
        
        
        ## Installation
        
        Association-Metrics requires:
        
        * Python (>= 3.6)
        * NumPy (>= 1.13.3)
        * SciPy (>= 0.19.1)
        * Pandas (>= 1.2.1)
        
        
        ## User installation
        
        
        If you already have a working installation of numpy, scipy and pandas, the easiest way to install Association-Metrics is using `pip`
        
        `
        pip install association-metrics
        `
        
        ## Development
        
        We welcome new contributors of all experience levels. 
        
        ### Source code
        
        `
        git clone https://github.com/HeberTU/association_metrics
        `
        
        ## Help and Support
        
        In case of any doubt, you can always reach us via email at:
        
        * heber.trj.urt@gmail.com
        
        We will be more than happy to help you out.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
